Abstract
Government and institutionally-driven reforms focused on quality teaching and learning in universities emphasize the importance of developing replicable, scalable teaching approaches that can be evaluated. In this context, learning design and learning analytics are two fields of research that may help university teachers design quality learning experiences for their students, evaluate how students are learning within that intended learning context and support personalized learning experiences for students. Learning Designs are ways of describing an educational experience such that it can be applied across a range of disciplinary contexts. Learning analytics offers new approaches to investigating the data associated with a learner's experience. This paper explores the relationship between learning designs and learning analytics.
Original language | English |
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Title of host publication | Proceedings of the 1st International Conference on Learning Analytics and Knowledge, LAK'11 |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 153-156 |
Number of pages | 4 |
ISBN (Electronic) | 9781450309448 |
ISBN (Print) | 9781450310574 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Event | 1st International Conference on Learning Analytics and Knowledge, LAK'11 - Banff, AB, Canada Duration: 27 Feb 2011 → 1 Mar 2011 |
Other
Other | 1st International Conference on Learning Analytics and Knowledge, LAK'11 |
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Country/Territory | Canada |
City | Banff, AB |
Period | 27/02/11 → 1/03/11 |